In this report, we aimed to explore the roles of gene polymorphisms affecting x-ray repair cross complementing 1 (XRCC1), the tumor protein p53 (TP53), and fibroblast growth factor receptor 3 (FGFR3) in the context of susceptibility to cervical cancer.
To conclude, the current meta-analysis indicated that the XRCC1Arg399Gln polymorphism decreased the risk of cervical cancer, while the Arg194Trp and Arg280His polymorphisms were not associated with cervical caner risk.
This meta-analysis showed that the XRCC1Arg399Gln GA variant might be risk alleles for cervical cancer susceptibility in the Chinese population, and further studies in other ethnic groups are required to arrive at definite conclusions.
However, whether the polymorphisms of the BER pathway components (i.e., <i>HOGG1, XRCC1, ADPRT</i>, and <i>APE1</i>) can affect the risk of cervical cancer remains unknown.
A positive association was observed between the polymorphisms of XRCC1 genes, that is, in codons 194 [P=0.001, odds ratio (OR)=20.1, 95% confidence interval (CI)=5.9-68.8], 280 (P=0.001, OR=5.4, 95% CI=2.3-12.6), and 399 (P=0.008, OR=4.2, 95% CI=1.5-12.1) and cervical cancer.
We searched three electronic databases (MEDLINE, EMBASE and CNKI) for studies on the association between XRCC1 polymorphisms and cervical cancer risk published before June 2013.
In multivariate logistic regression analysis (adjusting for parity, age at first child birth, use of oral contraceptives, smoking status), low expression of XRCC1, ERCC2, ERCC4, and ERCC1 was associated with a significant increased risk for CC and SIL.
The Arg194Trp polymorphism of XRCC1 increases risk of cervical cancer; the variant 399Gln allele predicts poor response to platinum-based chemotherapy, while the Arg194Trp polymorphism indicates a good response.
Two investigators independently searched the Medline, Embase, CNKI, and Chinese Biomedicine Databases for studies published before March 2011.Summary odds ratios (ORs) and 95% confidence intervals (CIs) for XRCC1 polymorphisms and CC were calculated in a fixed-effects model or a random-effects model when appropriate.
Although the statistical power of our study did not reach 80%, we found a statistically significant association between the XRCC1 399Gln variant and the incidence of cervical cancer.